Model selection with missing covariates for policy considerations in fox enclosures

DOI10.1080/02664763.2016.1259401OpenAlexW2552099570MaRDI QIDQ5138734

Ian Crandell, Mike Fies, Scott Klopfer, Andrew Hoegh

Publication date: 4 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2016.1259401

zbMATH Keywords

survival analysismissing datadata augmentationMCMCreversible jump MCMCBayesian modeling

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Cites Work

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• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• Bayesian model averaging: A tutorial. (with comments and a rejoinder).
• Survival analysis. Techniques for censored and truncated data.
• Subsampling the Gibbs sampler: variance reduction
• Marginal Likelihood from the Gibbs Output
• Multiple Imputation After 18+ Years
• Logistic Regression, Survival Analysis, and the Kaplan-Meier Curve
• Inference and missing data
• Marginal Likelihood From the Metropolis–Hastings Output
• Bayesian Analysis of Binary and Polychotomous Response Data

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